You are here

Show:
Printer-friendly versionPrinter-friendly version
  • Ben Abacha A, Long LR, Seco de Herrera AG, Antani SK, Wang K, Demner-Fushman D. Named Entity Recognition in Functional Neuroimaging Literature. BIBM 2017
  • Ben Abacha A, De Herrera A, Gayen S, Demner-Fushman D, Antani SK. NLM at ImageCLEF 2017 Caption Task. International Conference of the Cross-Language Evaluation Forum for European Languages 2017 Sep 11 (pp. 358-360). Springer, Cham.
  • Ben Abacha A, Demner-Fushman D. Recognizing Question Entailment for Medical Question Answering. AMIA Annu Symp Proc. 2017 Feb 10;2016:310-318. eCollection 2016.
  • Ben Abacha A. NLM_NIH at TREC 2016 Clinical Decision Support Track. Proceedings of TREC 2016, the 25th Text Retrieval Conference, Gaithersburg, MD, USA, November 2016.
  • Ben Abacha A, Demner-Fushman D. NLM_NIH at SemEval-2017 Task 3: from Question Entailment to Question Similarity for Community Question Answering. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval@ACL) 2017: 349-352.
  • Ben Abacha A, Demner-Fushman D. Meta-Learning with Selective Data Augmentation for Medical Entity Recognition. International Journal of Computational Linguistics and Applications (IJCLA) 7(2): 167-182 (2016)
  • Benedict SH, Hoffman K, Martel MK, Abernethy AP, Asher AL, Capala J, Chen RC, Chera B, Couch J, Deye J, Efstathiou JA, Ford E, Fraass BA, Gabriel PE, Huser V, Kavanagh BD, Khuntia D, Marks LB, Mayo C, McNutt T, Miller RS, Moore KL, Prior F, Roelofs E, Rosenstein BS, Sloan J, Theriault A, Vikram B. Overview of the American Society for Radiation Oncology-National Institutes of Health-American Association of Physicists in Medicine Workshop 2015: Exploring Opportunities for Radiation Oncology in the Era of Big Data. Int J Radiat Oncol Biol Phys. 2016 Jul 1;95(3):873-879. doi: 10.1016/j.ijrobp.2016.03.006.
  • Biondich PG, Downs SM, Carroll AE, Shiffman RN, McDonald CJ. Collaboration between the medical informatics community and guideline authors: fostering HIT standard development that matters. AMIA Annu Symp Proc. 2006:36-40.
  • Biondich PG, Anand V, Downd SM, McDonald CJ. Using adaptive turnaround documents to electronically acquire structured data in clinical settings. AMIA Annu Symp Proc. 2003:86-90.
  • Biondich PG, Overhage JM, Dexter PR, Downs SM, Lemmon L, McDonald CJ. A modern optical character recognition system in a real world clinical setting: some accuracy and feasibility observations. Proc AMIA Symp. 2002:56-60.
  • Bodenreider O, Demner-Fushman D. Investigating drug classes in biomedical terminologies from the perspective of clinical decision support. AMIA Annu Symp Proc. 2010 Nov 13;2010:56-60.
  • Bodenreider O, McCray AT. Exploring Semantic Groups Through Visual Approaches J Biomed Inform. 2003 Dec;36(6):414-432.
  • Bodenreider O, Mitchell JA, McCray AT. Evaluation of the UMLS as a Terminology and Knowledge Resource for Biomedical Informatics Proc AMIA Symp. 2002:61-65.
  • Bongiorno MA, Nathan N, Oyerinde O, Wang JA, Lee CR, Brown G, Moss J, Darling TN. Clinical Characteristics of Connective Tissue Nevi in Tuberous Sclerosis Complex With Special Emphasis on Shagreen Patches. JAMA Dermatol. 2017 Jul 1;153(7):660-665. doi: 10.1001/jamadermatol.2017.0298.
  • Borovikov E, Vajda S, Gill MJ. Face Match for Family Reunification: Real-World Face Image Retrieval International Journal of Computer Vision and Image Processing. DOI: 10.4018/IJCVIP.2017040102.
  • Borovikov E, Yershov S. On Virtual Characters that Can See 7th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2016, held July 16 to July 19, 2016 in New York City, NY, USA
  • Borovikov E, Vajda S, Lingappa G, Antani SK, Thoma GR. Face matching for post-disaster family reunification. IEEE International Conference on Healthcare Informatics. Philadelphia, PA, USA. September 2013.
  • Boyce RD, Ryan PB, Noren GN, Schuemie MJ, Reich C, Duke J, Tatonetti NP, Trifiro G, Harpaz R, Overhage JM, Hartzema AG, Kayter M, Voss EA, Lambert CG, Huser V, Dumontier M. Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest. Drug Saf. 2014 Aug;37(8):557-67. doi: 10.1007/s40264-014-0189-0.
  • Browne AC, Divita Guy, Aronson AR, McCray AT. Language and Vocabulary Tools AMIA Annu Symp Proc. 2003:798.
  • Bryant B, Sari-Sarraf H, Long LR, Antani SK. A Kernel Support Vector Machine Trained Using Approximate Global and Exhaustive Local Sampling. Proceedings of the 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) 2017, Austin, Texas, USA, December 2017. Pp. 267-8 DOI: https://doi.org/10.1145/3148055.3149206
  • Bush R, Heierman E, Knafel A, Lardin L, McDonald CJ. LIVD – Digital Format for Publication of LOINC to Vendor IVD Test Results. . IVD Industry Connectivity Consortium. http://ivdconnectivity.org/livd/. Published June 1, 2017. Accessed August 9, 2017.
  • Cahan A, Cimino JJ. Improving precision medicine using individual patient data from trials. CMAJ. 2017 Feb 6;189(5):E204-E207. doi: 10.1503/cmaj.160267. Epub 2016 Aug 29.
  • Califf RM, Zarin DA, Kramer JM, Sherman RE, Aberle LH, Tasneem A. Characteristics of clinical trials registered in ClinicalTrials.gov, 2007-2010. JAMA. 2012 May 2;307(17):1838-47. doi: 10.1001/jama.2012.3424.
  • Callaghan F, Jackson MT, Demner-Fushman D, Abhyankar S, McDonald C. Analysis of data that has been extracted from free-text using natural language processing: a likelihood model for misclassification with an application to medical informatics. International Conference on Advances in Interdisciplinary Statistics and Combinatorics (AISC2012), Greensboro, NC, October 2012
  • Callaghan F, Jackson MT, Demner-Fushman D, Abhyankar S, McDonald CJ. NLP-derived information improves the estimates of risk of disease compared to estimates based on manually extracted data alone. 5th International Symposium on Semantic Mining in Biomedicine (SMBM 2012), 2012 Sept 3-4, Zurich, Switzerland.

Pages